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YOLO11: Custom Object Detection & Web Apps in Python

 YOLO11: Custom Object Detection & Web Apps in Python

YOLO11: Custom Object Detection & Web Apps in Python

Learn Custom Object Detection, Tracking and Pose Estimation with YOLO11, and Build Web Apps with Flask and Streamlit

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What you'll learn

  • Object Detection, Instance Segmentation, Pose Estimation and Image Classification using YOLO11
  • Training / Fine-Tuning YOLO11 Models on Custom Dataset
  • Multi-Object Tracking with Ultralytics YOLO
  • Develop Streamlit Application for Object Detection with YOLO11.
  • Object Detection in the Browser using YOLO11 and Flask

YOLO11 is the latest state-of-the-art object detection model from Ultralytics, surpassing previous versions in both speed and accuracy. Built upon the advancements of earlier YOLO models, YOLO11 introduces significant improvements in architecture and training, making it a versatile tool for various computer vision tasks.

YOLO11 models support a wide range of tasks, including object detection, instance segmentation, image classification, pose estimation, and oriented object detection (OBB).

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